{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:DDFBUXMORLUSDLUR55ZZKTL2BN","short_pith_number":"pith:DDFBUXMO","canonical_record":{"source":{"id":"2608.09898","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-10T17:45:44Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5909c4a53da4dcfa8805a1830cf512e8e4395e927a2681afe4a80107b3686900","abstract_canon_sha256":"81c1e24e285d80fe57aaf6d5b5a6f010e2b504d87599bee364e0e7d97fc11b68"},"schema_version":"1.0"},"canonical_sha256":"18ca1a5d8e8ae921ae91ef73954d7a0b68296f85b6c36c8615da37af84074aea","source":{"kind":"arxiv","id":"2608.09898","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.09898","created_at":"2026-08-11T02:25:24Z"},{"alias_kind":"arxiv_version","alias_value":"2608.09898v1","created_at":"2026-08-11T02:25:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.09898","created_at":"2026-08-11T02:25:24Z"},{"alias_kind":"pith_short_12","alias_value":"DDFBUXMORLUS","created_at":"2026-08-11T02:25:24Z"},{"alias_kind":"pith_short_16","alias_value":"DDFBUXMORLUSDLUR","created_at":"2026-08-11T02:25:24Z"},{"alias_kind":"pith_short_8","alias_value":"DDFBUXMO","created_at":"2026-08-11T02:25:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:DDFBUXMORLUSDLUR55ZZKTL2BN","target":"record","payload":{"canonical_record":{"source":{"id":"2608.09898","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-10T17:45:44Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5909c4a53da4dcfa8805a1830cf512e8e4395e927a2681afe4a80107b3686900","abstract_canon_sha256":"81c1e24e285d80fe57aaf6d5b5a6f010e2b504d87599bee364e0e7d97fc11b68"},"schema_version":"1.0"},"canonical_sha256":"18ca1a5d8e8ae921ae91ef73954d7a0b68296f85b6c36c8615da37af84074aea","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T02:25:24.160011Z","signature_b64":"sQjRiD8QY1jKawD75YnrCMLw4CmMz8nLmRXppVYYGlIfUpMBrDZOKnHLcKkcCnSyx2LawKHoWT2UcbmboczdDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"18ca1a5d8e8ae921ae91ef73954d7a0b68296f85b6c36c8615da37af84074aea","last_reissued_at":"2026-08-11T02:25:24.158502Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T02:25:24.158502Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.09898","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-11T02:25:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+P4i4mtw8sMRGf6oVSrK0pXI1A0uHKMKjBRx9iPZtcY7r/tEP/fp+ILl5Wq8BAM6h0DFCv5Gg/l6UeriMLIjCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T09:55:29.532572Z"},"content_sha256":"4d2a63a8684db2f4341bcb115da4bc01887dd552200f680d01fb694aa4c8e0be","schema_version":"1.0","event_id":"sha256:4d2a63a8684db2f4341bcb115da4bc01887dd552200f680d01fb694aa4c8e0be"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:DDFBUXMORLUSDLUR55ZZKTL2BN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Consilience for Verifier-Free Test-Time Scaling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Haitao Mao, Jun Huan, Lecheng Kong, Like Hui","submitted_at":"2026-08-10T17:45:44Z","abstract_excerpt":"Test-time scaling often uses an external verifier, such as compilers and test cases in coding or trained value functions in robotics applications, to obtain high-quality rollouts. Verifier-free test-time scaling (or VF-TTS) is gaining extensive attention as a mechanism to enhance Large Language Model (LLM) reasoning, primarily because we do not have access to such high-quality verifiers in many real-world applications. Among existing VF-TTS methods, confidence-based VF-TTS methods, which compute and rank rollouts solely by confidence, are particularly promising. Such methods introduce near-zer"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.09898","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2608.09898/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-11T02:25:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Zc4Xd6X9dgPB9hapZD3ZkRPDlvbgas9L7DZQY41HuHlYyzMQg0riqXJlcneYuQY575EP68bV7hWRpW8NscLVDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T09:55:29.533121Z"},"content_sha256":"ef4ed88a792c51a40958550373630837d3fcf6f456ce06e3167da8796ba1acd1","schema_version":"1.0","event_id":"sha256:ef4ed88a792c51a40958550373630837d3fcf6f456ce06e3167da8796ba1acd1"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:DDFBUXMORLUSDLUR55ZZKTL2BN","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2024.naacl-long.366) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, and Iryna Gurevych. A survey of confidence estimation and calibration in large language models. In Kevin Duh, Helena Gomez, and Steven Bethard, editors,Proceedings of the 202","arxiv_id":"2608.09898","detector":"doi_compliance","evidence":{"ref_index":13,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.18653/v1/2024","reconstructed_doi":"10.18653/v1/2024.naacl-long.366"},"severity":"advisory","ref_index":13,"audited_at":"2026-08-11T04:58:10.941823Z","event_type":"pith.integrity.v1","detected_doi":"10.18653/v1/2024.naacl-long.366","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"31e29964b100555703b3fa5e96ba61ef21fec487cd78842005a940aa4c2da72c","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":18968,"payload_sha256":"7c02d5b63b100fc14df3ae6adcb047c1db794df7b7d55e51d4557b0c0dc3c2b2","signature_b64":"qp60lfhR/g+GHlqHXfWVICIZhwKhvVvmTJmGve+mfrNAhjOrF4BHHm2VZiOXoDTenq51qYkfJo6jBfj9w/ymCA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-11T04:58:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3PX+WgDtcfpOlDsYIAtkSuTRY8vh5o9S2qKAY5KL5wMuXtBiFPzFh4r0E4H7+M0j6tiszuAnls65ShkPKWjFDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T09:55:29.536781Z"},"content_sha256":"b145ed277582c7606613dfddadc1ffd555d44e670040d3936b37035667d27316","schema_version":"1.0","event_id":"sha256:b145ed277582c7606613dfddadc1ffd555d44e670040d3936b37035667d27316"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DDFBUXMORLUSDLUR55ZZKTL2BN/bundle.json","state_url":"https://pith.science/pith/DDFBUXMORLUSDLUR55ZZKTL2BN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DDFBUXMORLUSDLUR55ZZKTL2BN/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T09:55:29Z","links":{"resolver":"https://pith.science/pith/DDFBUXMORLUSDLUR55ZZKTL2BN","bundle":"https://pith.science/pith/DDFBUXMORLUSDLUR55ZZKTL2BN/bundle.json","state":"https://pith.science/pith/DDFBUXMORLUSDLUR55ZZKTL2BN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DDFBUXMORLUSDLUR55ZZKTL2BN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DDFBUXMORLUSDLUR55ZZKTL2BN","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"81c1e24e285d80fe57aaf6d5b5a6f010e2b504d87599bee364e0e7d97fc11b68","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-10T17:45:44Z","title_canon_sha256":"5909c4a53da4dcfa8805a1830cf512e8e4395e927a2681afe4a80107b3686900"},"schema_version":"1.0","source":{"id":"2608.09898","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.09898","created_at":"2026-08-11T02:25:24Z"},{"alias_kind":"arxiv_version","alias_value":"2608.09898v1","created_at":"2026-08-11T02:25:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.09898","created_at":"2026-08-11T02:25:24Z"},{"alias_kind":"pith_short_12","alias_value":"DDFBUXMORLUS","created_at":"2026-08-11T02:25:24Z"},{"alias_kind":"pith_short_16","alias_value":"DDFBUXMORLUSDLUR","created_at":"2026-08-11T02:25:24Z"},{"alias_kind":"pith_short_8","alias_value":"DDFBUXMO","created_at":"2026-08-11T02:25:24Z"}],"graph_snapshots":[{"event_id":"sha256:ef4ed88a792c51a40958550373630837d3fcf6f456ce06e3167da8796ba1acd1","target":"graph","created_at":"2026-08-11T02:25:24Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2608.09898/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Test-time scaling often uses an external verifier, such as compilers and test cases in coding or trained value functions in robotics applications, to obtain high-quality rollouts. Verifier-free test-time scaling (or VF-TTS) is gaining extensive attention as a mechanism to enhance Large Language Model (LLM) reasoning, primarily because we do not have access to such high-quality verifiers in many real-world applications. Among existing VF-TTS methods, confidence-based VF-TTS methods, which compute and rank rollouts solely by confidence, are particularly promising. Such methods introduce near-zer","authors_text":"Haitao Mao, Jun Huan, Lecheng Kong, Like Hui","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-10T17:45:44Z","title":"Consilience for Verifier-Free Test-Time Scaling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.09898","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:4d2a63a8684db2f4341bcb115da4bc01887dd552200f680d01fb694aa4c8e0be","target":"record","created_at":"2026-08-11T02:25:24Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"81c1e24e285d80fe57aaf6d5b5a6f010e2b504d87599bee364e0e7d97fc11b68","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-10T17:45:44Z","title_canon_sha256":"5909c4a53da4dcfa8805a1830cf512e8e4395e927a2681afe4a80107b3686900"},"schema_version":"1.0","source":{"id":"2608.09898","kind":"arxiv","version":1}},"canonical_sha256":"18ca1a5d8e8ae921ae91ef73954d7a0b68296f85b6c36c8615da37af84074aea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18ca1a5d8e8ae921ae91ef73954d7a0b68296f85b6c36c8615da37af84074aea","first_computed_at":"2026-08-11T02:25:24.158502Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T02:25:24.158502Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sQjRiD8QY1jKawD75YnrCMLw4CmMz8nLmRXppVYYGlIfUpMBrDZOKnHLcKkcCnSyx2LawKHoWT2UcbmboczdDQ==","signature_status":"signed_v1","signed_at":"2026-08-11T02:25:24.160011Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.09898","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4d2a63a8684db2f4341bcb115da4bc01887dd552200f680d01fb694aa4c8e0be","sha256:ef4ed88a792c51a40958550373630837d3fcf6f456ce06e3167da8796ba1acd1","sha256:b145ed277582c7606613dfddadc1ffd555d44e670040d3936b37035667d27316"],"state_sha256":"f55354aac1a001ee420dbf3ebd009431bf2dff4733dc45a5adaeb1d6cb3834d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YmdiJUtKlQYwHGAM9N2HD+Tk1/lSuj1BxTqI0H1zE99TdytA+t60ekcIqwIpvIAM9Dc0beR4jyPno1dEoY9pDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T09:55:29.539792Z","bundle_sha256":"0db77aa36b83efa4dea8abffae62863aeb3ddf3671878ba915e6f9b99103d582"}}